Publications

2026

(2026). Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning. arXiv preprint arXiv:2605.14049.

Paper

(2026). Dynamically Introspective Action Advising. CoLLas.

Paper

(2026). Guaranteed Optimal Compositional Explanations for Neurons. ICML.

(2026). Learning to Draw ASCII Improves Spatial Reasoning in Language Models. COLM; arXiv preprint arXiv:2604.14641.

Paper

(2026). Touching Space: Accessible Map Exploration Through Conversational Audio-Haptic Interaction. arXiv preprint arXiv:2604.14637.

Paper

2025

(2025). Explore the Loss space with Hill-ADAM. arXiv preprint arXiv:2510.03613.

Paper

(2025). Follow My Lead: Logical Fallacy Classification with Knowledge-Augmented LLMs. Advances in Cognitive Systems (2025).

Paper

(2025). Frame-Based Scenes Understanding: Structured Representations for Introspective Perception in Autonomous Driving. Advances in Cognitive Systems (2025).

(2025). Open Vocabulary Compositional Explanations for Neuron Alignment. arXiv preprint arXiv:2511.20931.

Paper

(2025). VFSI: Validity First Spatial Intelligence for Constraint-Guided Traffic Diffusion. NeurIPS 2025 Workshop on Space in Vision, Language, and Embodied AI; arXiv:2509.23971.

2024

(2024). A novel post-hoc explanation comparison metric and applications. ICPRAI 2024.

(2024). Neuro-Symbolic Reasoning in the Traffic Domain. Neurosymbolic Artificial Intelligence.

(2024). ProSLM: A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering. Neurosymbolic AI (in press).

(2024). Slug Mobile: Test-Bench for RL Testing. BayLearn, arXiv:2409.10532.

Paper

2023

(2023). The Anticipatory Paradigm. AI Magazine.

(2023). Accountability layers: explaining complex system failures by parts. AAAI.

(2023). Can large language models explain themselves? a study of llm-generated self-explanations. arXiv preprint arXiv:2310.11207.

Paper

(2023). Convolutional neural network model for diabetic retinopathy feature extraction and classification. arXiv preprint arXiv:2310.10806.

Paper

(2023). Semi-Automated Synthesis of Driving Rules. VehicleSec (2023).

(2023). The XAISuite framework and the implications of explanatory system dissonance. arXiv preprint arXiv:2304.08499.

Paper

2022

(2022). DANGER: A Framework of Danger-Aware Novel Dataset Generator Extension for Robustness Test of Machine Learning. Bay Learn 2022.

PDF

(2022). Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning. AI & Society.

(2022). Outracing champion Gran Turismo drivers with deep reinforcement learning. Nature.

(2022). Anticipatory thinking challenges in open worlds: Risk management. AAAI Spring Symposium on Designing AI for Open Worlds (2022).

(2022). DANGER: A Framework for Generating Dangerous Scenes for Testing Robustness of Machine Learning. NeurIPS Workshop on Trustworthy Embodied AI (2022).

2021

(2021). Explaining Multimodal Errors in Autonomous Vehicles. DSAA 2021.

PDF Slides Video

(2021). A Framework for the Design and Evaluation of Machine Learning Applications. Northwestern University Machine Learning Impact Initiative (Technical Report).

PDF

(2021). A stress testing framework for autonomous system verification and validation (v&v). 2021 IEEE International Conference on Autonomous Systems (ICAS).

PDF

(2021). Anticipatory Thinking: A Testing and Representation Challenge for Self-Driving Cars. 2021 55th Annual Conference on Information Sciences and Systems (CISS).

2020

(2020). A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation. AI-HRI 2020.

PDF

(2020). Anomaly Detection Through Explanations. PhD Thesis.

PDF Video

2019

(2019). Explaining Possible Futures for Robust Autonomous Decision-Making. AAAI Fall Symposium.

PDF

(2019). Learning From Explanations for Robust Autonomous Driving.. ICML Workshop on AI for Autonomous Driving.

PDF

(2019). An Adaptable Self-Monitoring Framework for Opaque Machines. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.

PDF

(2019). Monitoring Opaque Learning Systems. ICLR 2019 Debugging ML Models Workshop.

PDF

(2019). Reports of the AAAI 2019 Spring Symposium Series. AI Magazine.

PDF

2018

(2018). Explaining Explanations to Society. arXiv preprint arXiv:1901.06560.

(2018). Explaining explanations: An overview of interpretability of machine learning. 2018 IEEE 5th International Conference on data science and advanced analytics (DSAA).

(2018). Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge. Advances in Cognitive Systems.

(2018). Perception of Speaker Personality Traits Using Speech Signals. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems.

(2018). Reasonable perception: Connecting vision and language systems for validating scene descriptions. Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction.

(2018). Reasonableness Monitors. Thirty-Second AAAI Conference on Artificial Intelligence.

2017

(2017). Getting Up to Speed on Vehicle Intelligence. AAAI Spring Symposium Series.

2016

(2016). Graph analysis for detecting fraud, waste, and abuse in healthcare data. AI Magazine.

(2016). The Veicl Act: Safety and Security for Modern Vehicles. Willamette L. Rev..

2014

(2014). Co-simulation solutions using AA4MM-FMI applied to smart space heating models. Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques.

2012

(2012). Negative News No More: Classifying News Article Headlines. Technical Report.

2011

(2011). The Impact of Topology and Communication Models on Connectivity in Networks.